Time to celebrate matplotlib again folks! https://lnkd.in/gaUS_dpM
marimo
Software Development
An open-source AI-native Python notebook— git-friendly, reactive, SQL built-in, reproducible, run as as scripts or apps
About us
We build next-generation Python tools for ML and data science, starting with the marimo notebook: explore data, build tools, and deploy apps in one seamless environment. The marimo notebook is free and open source — pip install marimo to get started today! Visit our repo to learn more: https://github.com/marimo-team/marimo
- Website
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https://marimo.io
External link for marimo
- Industry
- Software Development
- Company size
- 2-10 employees
- Type
- Privately Held
Employees at marimo
Updates
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We're going to release two new widgets this week. The first one is for all you devrel-people out there that want to host a notebook as a demo. Trust us when we say it solves a big gripe. https://lnkd.in/gnyhwc8G
How to fix your broken Python demo
https://www.youtube.com/
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Get hands on with Python with HOPPy, Reuven Lerner's Python course that focuses on learning by doing and building. 🔨 🐍 In this course, HOPPy students will learn how to work with data in Python, using marimo as the programming environment.
Most #Python classes focus on syntax. If they include any practice, everyone is doing the same thing. You might finish the class, but you lack the skills you need to create and publish a real-world project. HOPPy — Hands-on Projects in Python — is a very different kind of course. It's focused on doing. On building. On learning as you build something important to you. Each student builds something different, getting mentoring from me and fellow students. At the end of the course, you've built something you can be proud of and share — and of course, you've learned a lot, too. In the upcoming HOPPy cohort, you'll build a data dashboard using Marimo. You'll put your Python data skills into practice, learning about Marimo, dashboards, and distribution along the way. Join me for the upcoming 4th HOPPy cohort, starting February 1st. For more information, including a link to sign up for an info session, go here: https://lnkd.in/dvjkXJh5
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marimo reposted this
At the end of last year, I wrote a Practical Cheminformatics blog post about marimo, which many (including me) think of as "a better Jupyter notebook". In the latest post, "Practical Cheminformatics with Marimo", I provide three code examples for interactive workflows that can be easily implemented in marimo notebooks. I also introduce marimo_chem_utils, a pip-installable package that simplifies using marimo for cheminformatics. https://lnkd.in/enQXQCxR
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marimo reposted this
You can *play* golf with PyMC. Bayesian models are generative - they don't just fit data, they can simulate new data. That means you can actually use your model to take putts and see if they go in. I took PyMC's classic golf putting example and made it interactive in marimo. Pick your distance, take a shot, and watch whether your model sinks it or misses. It makes the generative nature of Bayesian models something you can feel, not just read about. This is why I love this example for seeing how Bayesian models work. You build up the model step by step, see where it fails, and improve it. But now you can also *play* with it - and that makes the learning stick. Try it yourself on molab: https://lnkd.in/ehhEDUpX Thanks to the marimo team for having me on their community call to demo this! Code: https://lnkd.in/euwxefxM
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Thanks to opencode you can now get agents with open models up and running for Python notebooks. Pick whatever model you like, even local ones! We made a full tutorial about it here: https://lnkd.in/ggPtdkzt
Why opencode is totally underappreciated
https://www.youtube.com/
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At marimo, we believe the tools we use shape the way we think — better tools for better minds. If you're excited about open source, developer tools, or building highly scalable cloud services, apply to join!
The marimo team is *hiring*! At marimo, we're building the world's best programming environment for data/AI, spanning local development with our open-source to the cloud with molab. With weekly downloads growing at nearly 5%, 18k+ GitHub stars, and adoption at companies, universities, and AI labs worldwide, we’re scaling up to meet the moment. We’re hiring for several roles across our open-source libraries and cloud platform. Apply at our website! https://marimo.io/careers
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0.19.0 is our biggest release yet, featuring: a refreshed UI, pytest fixtures, reactive Plotly plots, the ability to reuse notebooks in other notebooks, Pydantic AI support in our chat component, and much more Learn more at our blog: https://lnkd.in/geXBkxZf
Just shipped: marimo 0.19.0 🚢 This release refreshes the editor UI with lighter cell styling, while also simplifying our sidebar to feature just the essentials. For our advanced users, this release introduces a developer panel that houses a terminal, logs, tracing, and more. **Introducing the Developer Panel.** marimo has many helper panels, but mixing essential tools with advanced ones can overwhelm new users. This release adds a dedicated Developer Panel at the bottom of the editor. If you prefer a different arrangement, panels can be moved between the sidebar and Developer Panel. **A refreshed dependency graph panel.** The Minimap has moved into the Dependencies panel as a tab. This makes it easy to see how data flows through your notebook at a glance. **pytest fixtures.** marimo has first-class support for using pytest in notebooks. For educators, this is a simple and reliable way to provide test cases for student assignments. 0.19.0 adds support for pytest fixtures. https://lnkd.in/gNTBynza 0.19.0 is a **big** release, with over 200 commits. For the full changelog, see our release notes: https://lnkd.in/g4XZPRZz. Thanks to the nearly 20 contributors who made this release possible!
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In case you haven't heard about it, Manim-slides is just plain awesome. https://lnkd.in/g62TSrvA
Manim Slides is plain awesome
https://www.youtube.com/